Control System Toolbox™ provides industry-standard algorithms and apps for systematically analyzing, designing, and tuning linear control systems. You can specify your system as a transfer function, state-space, zero-pole-gain or frequency-response model. Apps and functions, such as step response plot and Bode plot, let you visualize system behavior in time domain and frequency domain. You can tune compensator parameters using automatic PID controller tuning, Bode loop shaping, root locus method, LQR/LQG design, and other interactive and automated techniques. You can validate your design by verifying rise time, overshoot, settling time, gain and phase margins, and other requirements.

Curve Fitting Toolbox™ provides an app and functions for fitting curves and surfaces to data. The toolbox lets you perform exploratory data analysis, preprocess and post-process data, compare candidate models, and remove outliers. You can conduct regression analysis using the library of linear and nonlinear models provided or specify your own custom equations. The library provides optimized solver parameters and starting conditions to improve the quality of your fits. The toolbox also supports nonparametric modeling techniques, such as splines, interpolation, and smoothing.
After creating a fit, you can apply a variety of post-processing methods for plotting, interpolation, and extrapolation; estimating confidence intervals; and calculating integrals and derivatives.

Data Acquisition Toolbox™ provides functions for connecting MATLAB® to data acquisition hardware. The toolbox supports a variety of DAQ hardware, including USB, PCI, PCI-Express®, PXI, and PXI-Express devices, from National Instruments, Measurement Computing, Advantech, Data Translation, and other vendors.
With the toolbox you can configure data acquisition hardware and read data into MATLAB and Simulink® for immediate analysis. You can also send out data over analog and digital output channels provided by data acquisition hardware. The toolbox’s data acquisition software includes functions for controlling analog input, analog output, counter/timer, and digital I/O subsystems of a DAQ device. You can access device-specific features and synchronize data acquired from multiple devices.
You can analyze data as you acquire it or save it for post-processing. You can also automate tests and make iterative updates to your test setup based on analysis results. Simulink blocks included in the toolbox let you stream live data directly into Simulink models, enabling you to verify and validate your models against live measured data as part of your design verification process.

Database Toolbox™ provides an app and functions for exchanging data between relational databases and MATLAB®. You can use SQL commands to read and write data or use the Database Explorer app to interact with a database without using SQL.
The toolbox supports ODBC-compliant and JDBC-compliant databases, including Oracle®, MySQL®, Sybase®, Microsoft® SQL Server®, and Informix®. You can apply simple and advanced conditions to database queries from MATLAB. The toolbox lets you access multiple databases simultaneously within a single MATLAB session and enables segmented import of large data sets.

DSP System Toolbox™ provides algorithms for the design and simulation of signal processing systems. These capabilities are provided as MATLAB® functions, MATLAB System objects™, and Simulink® blocks.
The system toolbox includes design methods for specialized FIR and IIR filters, FFTs, multirate processing, and DSP techniques for processing streaming data and creating real-time prototypes. You can design adaptive and multirate filters, implement filters using computationally efficient architectures, and simulate floating-point digital filters. Tools for signal I/O from files and devices, signal generation, spectral analysis, and interactive visualization enable you to analyze system behavior and performance. For rapid prototyping and embedded system design, the system toolbox supports fixed-point arithmetic and C or HDL code generation.

Embedded Coder® generates readable, compact, and fast C and C++ code for use on embedded processors, on-target rapid prototyping boards, and microprocessors used in mass production. Embedded Coder enables additional MATLAB Coder™ and Simulink Coder™ configuration options and advanced optimizations for fine-grain control of the generated code’s functions, files, and data. These optimizations improve code efficiency and facilitate integration with legacy code, data types, and calibration parameters used in production. You can incorporate a third-party development environment into the build process to produce an executable for turnkey deployment on your embedded system.
Embedded Coder offers built-in support for AUTOSAR and ASAP2 software standards. It also provides traceability reports, code interface documentation, and automated software verification to support DO-178, IEC 61508, and ISO 26262 software development.

The Filter Design HDL Coder™ product adds hardware implementation capability to MATLAB®. It lets you generate efficient, synthesizable, and portable VHDL and Verilog code for fixed-point filters that are designed with DSP System Toolbox™ software, for implementation in ASICs or FPGAs. It also automatically creates VHDL and Verilog test benches for quickly simulating, testing, and verifying the generated code.

Financial Toolbox™ provides functions for mathematical modeling and statistical analysis of financial data. You can optimize portfolios of financial instruments, optionally taking into account turnover and transaction costs. The toolbox enables you to estimate risk, analyze interest rate levels, price equity and interest rate derivatives, and measure investment performance. Time series analysis functions and an app let you perform transformations or regressions with missing data and convert between different trading calendars and day-count conventions.